Preservice Teachers’ Acceptance of Learning Management Software: An Application of the UTAUT2 Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Moodle also known as Learning Management System is freely available to educators. Universiti Utara Malaysia (UUM) encourages students and instructors to utilize the teaching and learning process. Moodle enables lecturer to create sequences and facilitate activities for their students, auto-marked online quizzes and exams, navigation tools, files download, grading, student progress tracking, online calendar, etc. This paper investigated the relationships between the constructs that may influence preservice teachers’ acceptance of Learning Zone (Moodle) in their learning process and assessing the influence of variation on performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and the habit to the behavioral intention or intention of usage. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is verified and found that the regression model revealed 29.5% of the variance in student’s intentions with facilitating conditions and hedonic expectancy are considerable predictors of the behavioral intention. Based on this, recommendations for prospect research in the application of UTAUT2 are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it